CN111563924B - 图像深度确定方法及活体识别方法、电路、设备和介质 - Google Patents

图像深度确定方法及活体识别方法、电路、设备和介质 Download PDF

Info

Publication number
CN111563924B
CN111563924B CN202010351856.9A CN202010351856A CN111563924B CN 111563924 B CN111563924 B CN 111563924B CN 202010351856 A CN202010351856 A CN 202010351856A CN 111563924 B CN111563924 B CN 111563924B
Authority
CN
China
Prior art keywords
camera
point
depth
determining
coordinate
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202010351856.9A
Other languages
English (en)
Chinese (zh)
Other versions
CN111563924A (zh
Inventor
方舒
周骥
冯歆鹏
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
NextVPU Shanghai Co Ltd
Original Assignee
NextVPU Shanghai Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by NextVPU Shanghai Co Ltd filed Critical NextVPU Shanghai Co Ltd
Priority to CN202010351856.9A priority Critical patent/CN111563924B/zh
Publication of CN111563924A publication Critical patent/CN111563924A/zh
Priority to PCT/CN2021/085276 priority patent/WO2021218568A1/zh
Priority to US17/239,302 priority patent/US11232315B2/en
Priority to EP21170219.6A priority patent/EP3905195A1/en
Priority to JP2021074934A priority patent/JP7064257B2/ja
Priority to KR1020210054725A priority patent/KR102386444B1/ko
Application granted granted Critical
Publication of CN111563924B publication Critical patent/CN111563924B/zh
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/161Detection; Localisation; Normalisation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/50Depth or shape recovery
    • G06T7/55Depth or shape recovery from multiple images
    • G06T7/593Depth or shape recovery from multiple images from stereo images
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/50Depth or shape recovery
    • G06T7/55Depth or shape recovery from multiple images
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/80Analysis of captured images to determine intrinsic or extrinsic camera parameters, i.e. camera calibration
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/764Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/60Type of objects
    • G06V20/64Three-dimensional objects
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/168Feature extraction; Face representation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/40Spoof detection, e.g. liveness detection
    • G06V40/45Detection of the body part being alive
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20084Artificial neural networks [ANN]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30196Human being; Person
    • G06T2207/30201Face

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Multimedia (AREA)
  • Health & Medical Sciences (AREA)
  • Human Computer Interaction (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • General Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • Evolutionary Computation (AREA)
  • Medical Informatics (AREA)
  • Software Systems (AREA)
  • Databases & Information Systems (AREA)
  • Artificial Intelligence (AREA)
  • Image Analysis (AREA)
  • Image Processing (AREA)
  • Measurement Of Optical Distance (AREA)
CN202010351856.9A 2020-04-28 2020-04-28 图像深度确定方法及活体识别方法、电路、设备和介质 Active CN111563924B (zh)

Priority Applications (6)

Application Number Priority Date Filing Date Title
CN202010351856.9A CN111563924B (zh) 2020-04-28 2020-04-28 图像深度确定方法及活体识别方法、电路、设备和介质
PCT/CN2021/085276 WO2021218568A1 (zh) 2020-04-28 2021-04-02 图像深度确定方法及活体识别方法、电路、设备和介质
US17/239,302 US11232315B2 (en) 2020-04-28 2021-04-23 Image depth determining method and living body identification method, circuit, device, and medium
EP21170219.6A EP3905195A1 (en) 2020-04-28 2021-04-23 Image depth determining method and living body identification method, circuit, device, and medium
JP2021074934A JP7064257B2 (ja) 2020-04-28 2021-04-27 画像深度確定方法及び生き物認識方法、回路、装置、記憶媒体
KR1020210054725A KR102386444B1 (ko) 2020-04-28 2021-04-28 이미지 심도 결정 방법 및 생체 식별 방법, 회로, 디바이스, 및 매체

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010351856.9A CN111563924B (zh) 2020-04-28 2020-04-28 图像深度确定方法及活体识别方法、电路、设备和介质

Publications (2)

Publication Number Publication Date
CN111563924A CN111563924A (zh) 2020-08-21
CN111563924B true CN111563924B (zh) 2023-11-10

Family

ID=72075496

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010351856.9A Active CN111563924B (zh) 2020-04-28 2020-04-28 图像深度确定方法及活体识别方法、电路、设备和介质

Country Status (5)

Country Link
EP (1) EP3905195A1 (ja)
JP (1) JP7064257B2 (ja)
KR (1) KR102386444B1 (ja)
CN (1) CN111563924B (ja)
WO (1) WO2021218568A1 (ja)

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11232315B2 (en) 2020-04-28 2022-01-25 NextVPU (Shanghai) Co., Ltd. Image depth determining method and living body identification method, circuit, device, and medium
CN111563924B (zh) * 2020-04-28 2023-11-10 上海肇观电子科技有限公司 图像深度确定方法及活体识别方法、电路、设备和介质
CN112487921B (zh) * 2020-11-25 2023-09-08 奥比中光科技集团股份有限公司 一种用于活体检测的人脸图像预处理方法及系统
CN114267068B (zh) * 2021-12-24 2022-11-01 合肥的卢深视科技有限公司 基于连续帧信息的人脸识别方法、电子设备及存储介质
CN116402871B (zh) * 2023-03-28 2024-05-10 苏州大学 一种基于场景平行要素的单目测距方法、系统及电子设备

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2017142654A1 (en) * 2016-02-18 2017-08-24 Intel Corporation 3-dimensional scene analysis for augmented reality operations
CN108986161A (zh) * 2018-06-19 2018-12-11 亮风台(上海)信息科技有限公司 一种三维空间坐标估计方法、装置、终端和存储介质
CN109118533A (zh) * 2018-08-30 2019-01-01 歌尔股份有限公司 深度信息处理方法、装置和设备
CN110770794A (zh) * 2018-08-22 2020-02-07 深圳市大疆创新科技有限公司 图像深度估计方法、装置、可读存储介质及电子设备

Family Cites Families (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2573153B2 (ja) * 1994-02-28 1997-01-22 株式会社エイ・ティ・アール通信システム研究所 ステレオ画像間対応づけ確信度検出装置および方法
JP2003294416A (ja) * 2002-04-03 2003-10-15 Eng Kk ステレオ画像処理装置
JP2005172703A (ja) * 2003-12-12 2005-06-30 Komatsu Ltd 物体の3次元計測方法および装置
CN100553347C (zh) * 2006-10-26 2009-10-21 上海交通大学 立体视觉系统的场景深度恢复和三维重建方法
JP4807583B2 (ja) * 2007-03-29 2011-11-02 本田技研工業株式会社 射影変換収束演算処理方法
JP2010152529A (ja) * 2008-12-24 2010-07-08 Nippon Hoso Kyokai <Nhk> 頂点テクスチャマッピング装置及びプログラム
JP5713624B2 (ja) * 2009-11-12 2015-05-07 キヤノン株式会社 三次元計測方法
JP6079333B2 (ja) * 2013-03-15 2017-02-15 株式会社リコー 校正装置、方法及びプログラム
CN104680528A (zh) * 2015-02-11 2015-06-03 广州霞光技研有限公司 一种基于双目立体视觉的排爆机器人空间定位方法
KR101835434B1 (ko) * 2015-07-08 2018-03-09 고려대학교 산학협력단 투영 이미지 생성 방법 및 그 장치, 이미지 픽셀과 깊이값간의 매핑 방법
CN110895822B (zh) * 2018-09-13 2023-09-01 虹软科技股份有限公司 深度数据处理系统的操作方法
CN110942032B (zh) * 2019-11-27 2022-07-15 深圳市商汤科技有限公司 活体检测方法及装置、存储介质
CN111563924B (zh) * 2020-04-28 2023-11-10 上海肇观电子科技有限公司 图像深度确定方法及活体识别方法、电路、设备和介质
CN111780673B (zh) * 2020-06-17 2022-05-31 杭州海康威视数字技术股份有限公司 一种测距方法、装置及设备

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2017142654A1 (en) * 2016-02-18 2017-08-24 Intel Corporation 3-dimensional scene analysis for augmented reality operations
CN108986161A (zh) * 2018-06-19 2018-12-11 亮风台(上海)信息科技有限公司 一种三维空间坐标估计方法、装置、终端和存储介质
CN110770794A (zh) * 2018-08-22 2020-02-07 深圳市大疆创新科技有限公司 图像深度估计方法、装置、可读存储介质及电子设备
CN109118533A (zh) * 2018-08-30 2019-01-01 歌尔股份有限公司 深度信息处理方法、装置和设备

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
周杰 ; 安平 ; 郑帅 ; 严徐乐 ; 左一帆 ; .飞行时间深度相机和彩色相机的联合标定.信号处理.2017,(01),全文. *

Also Published As

Publication number Publication date
WO2021218568A1 (zh) 2021-11-04
CN111563924A (zh) 2020-08-21
JP2021174554A (ja) 2021-11-01
KR20210133880A (ko) 2021-11-08
KR102386444B1 (ko) 2022-04-14
EP3905195A1 (en) 2021-11-03
JP7064257B2 (ja) 2022-05-10

Similar Documents

Publication Publication Date Title
CN111563924B (zh) 图像深度确定方法及活体识别方法、电路、设备和介质
EP3614340B1 (en) Methods and devices for acquiring 3d face, and computer readable storage media
JP6685827B2 (ja) 画像処理装置、画像処理方法及びプログラム
US8224069B2 (en) Image processing apparatus, image matching method, and computer-readable recording medium
CN111160178B (zh) 图像处理方法及装置、处理器、电子设备及存储介质
CN110942032B (zh) 活体检测方法及装置、存储介质
US11232315B2 (en) Image depth determining method and living body identification method, circuit, device, and medium
KR102476016B1 (ko) 안구 위치 정보 확정 방법 및 장치
CN103530599A (zh) 一种真实人脸和图片人脸的区别方法和系统
CN113256718B (zh) 定位方法和装置、设备及存储介质
CN111160232B (zh) 正面人脸重建方法、装置及系统
CN112184811B (zh) 单目空间结构光系统结构校准方法及装置
JP6071002B2 (ja) 信頼度取得装置、信頼度取得方法および信頼度取得プログラム
JP2012022411A (ja) 情報処理装置及びその制御方法、プログラム
WO2019075656A1 (zh) 图像处理方法、装置、终端和存储介质
JP7498404B2 (ja) 被写体の3次元姿勢推定装置、3次元姿勢推定方法、及びプログラム
JP7298687B2 (ja) 物体認識装置及び物体認識方法
JP2019220032A (ja) 原画像を目標画像に基づいて変形した表示画像を生成するプログラム、装置及び方法
CN114119405A (zh) 图像处理方法及装置、计算机可读存储介质和电子设备
CN115482285A (zh) 图像对齐方法、装置、设备及存储介质
CN115880206A (zh) 图像准确度判断方法、装置、设备及存储介质、程序产品
CN112991210B (zh) 图像处理方法及装置、计算机可读存储介质和电子设备
US20240054747A1 (en) Image processing apparatus, image processing method, and storage medium
JP7524980B2 (ja) 判定方法、判定プログラム、及び情報処理装置
CN117373103B (zh) 一种图像特征提取方法、装置、设备及存储介质

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant